badgeIA

agent framework

LangChain vs LangGraph

LangGraph is LangChain's own next-generation runtime. It's the recommended way to build stateful, branching agents — LangChain proper still ships but LangGraph is where new patterns land.

Contender A

LangChain

Original LangChain framework

Contender B

LangGraph

Graph-based agent runtime

Side-by-side comparison

Metric
LangChain
LangGraph
Control flow
Chains (LCEL)
Graphs (nodes + edges)
State
Stateless by default
First-class persistent state
Best for
Linear pipelines
Cycles, branching, HITL
Status
Stable
Recommended for new agents

When LangChain is the right pick

Simple pipelines (input → retriever → LLM → output).

When LangGraph is the right pick

Real agents: cycles, human-in-loop, streaming state.

Verdict

Start new agent work on LangGraph. Keep LangChain for short deterministic chains.

Benchmark with badgeIA

Run your own LangChain vs LangGraph test on your workload

Editorial comparisons age fast. badgeIA lets you benchmark any two agents on the same tasks, surface significant differences, and share the results.

Start a benchmark →

Related comparisons